Advanced Energy Industries Beneish M-Score Historical Data
The historical data trend for Advanced Energy Industries's Beneish M-Score can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Advanced Energy Industries Beneish M-Score Chart
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Advanced Energy Industries Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-1.71 |
-2.27 |
-2.55 |
-2.11 |
-2.78 |
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Advanced Energy Industries Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.11 |
-2.26 |
-2.51 |
-2.84 |
-2.78 |
Competitive Comparison of Advanced Energy Industries's Beneish M-Score
For the Electrical Equipment & Parts subindustry, Advanced Energy Industries's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
Advanced Energy Industries's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Advanced Energy Industries's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Advanced Energy Industries's Beneish M-Score falls into.
Advanced Energy Industries Beneish M-Score Calculation
The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.
The M-Score Variables:
The M-score of Advanced Energy Industries for today is based on a combination of the following eight different indices:
| M | = | -4.84 | + | 0.92 * DSRI | + | 0.528 * GMI | + | 0.404 * AQI | + | 0.892 * SGI | + | 0.115 * DEPI |
| = | -4.84 | + | 0.92 * 1.0469 | + | 0.528 * 1.0231 | + | 0.404 * 0.8167 | + | 0.892 * 0.8973 | + | 0.115 * 0.967 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1276 | + | 4.679 * -0.020306 | - | 0.327 * 1.2241 |
| = | -2.78 |
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
| This Year (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $282 Mil.
Revenue was 405.271 + 409.991 + 415.508 + 425.04 = $1,656 Mil.
Gross Profit was 142.866 + 147.341 + 147.08 + 155.111 = $592 Mil.
Total Current Assets was $1,712 Mil.
Total Assets was $2,557 Mil.
Property, Plant and Equipment(Net PPE) was $263 Mil.
Depreciation, Depletion and Amortization(DDA) was $67 Mil.
Selling, General, & Admin. Expense(SGA) was $221 Mil.
Total Current Liabilities was $336 Mil.
Long-Term Debt & Capital Lease Obligation was $985 Mil.
Net Income was 37.502 + 32.721 + 27.14 + 30.921 = $128 Mil.
Non Operating Income was -26.169 + -0.245 + -0.729 + -1.593 = $-29 Mil.
Cash Flow from Operations was 84.004 + 72.519 + 22.603 + 29.811 = $209 Mil.
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Total Receivables was $301 Mil.
Revenue was 490.74 + 516.274 + 440.949 + 397.459 = $1,845 Mil.
Gross Profit was 177.814 + 191.218 + 162.158 + 144.316 = $676 Mil.
Total Current Assets was $1,189 Mil.
Total Assets was $1,992 Mil.
Property, Plant and Equipment(Net PPE) was $249 Mil.
Depreciation, Depletion and Amortization(DDA) was $60 Mil.
Selling, General, & Admin. Expense(SGA) was $218 Mil.
Total Current Liabilities was $393 Mil.
Long-Term Debt & Capital Lease Obligation was $448 Mil.
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1. DSRI = Days Sales in Receivables Index
Measured as the ratio of Revenue in Total Receivables in year t to year t-1.
A large increase in DSR could be indicative of revenue inflation.
| DSRI | = | (Receivables_t / Revenue_t) | / | (Receivables_t-1 / Revenue_t-1) |
| = | (282.43 / 1655.81) | / | (300.683 / 1845.422) |
| = | 0.170569 | / | 0.162935 |
| | = | 1.0469 |
2. GMI = Gross Margin Index
Measured as the ratio of gross margin in year t-1 to gross margin in year t.
Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.
| GMI | = | GrossMargin_t-1 | / | GrossMargin_t |
| = | (GrossProfit_t-1 / Revenue_t-1) | / | (GrossProfit_t / Revenue_t) |
| = | (675.506 / 1845.422) | / | (592.398 / 1655.81) |
| = | 0.366044 | / | 0.357769 |
| | = | 1.0231 |
3. AQI = Asset Quality Index
AQI is the ratio of asset quality in year t to year t-1.
Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.
| AQI | = | (1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) | / | (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1) |
| = | (1 - (1711.894 + 263.097) / 2556.757) | / | (1 - (1188.514 + 248.639) / 1992.168) |
| = | 0.227541 | / | 0.278598 |
| | = | 0.8167 |
4. SGI = Sales Growth Index
Ratio of Revenue in year t to sales in year t-1.
Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.
| SGI | = | Sales_t | / | Sales_t-1 |
| = | Revenue_t | / | Revenue_t-1 |
| = | 1655.81 | / | 1845.422 |
| | = | 0.8973 |
5. DEPI = Depreciation Index
Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.
DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.
| DEPI | = | (Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) | / | (Depreciation_t / (Depreciaton_t + PPE_t)) |
| = | (60.296 / (60.296 + 248.639)) | / | (66.533 / (66.533 + 263.097)) |
| = | 0.195174 | / | 0.201841 |
| | = | 0.967 |
Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.
6. SGAI = Sales, General and Administrative expenses Index
The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.
SGA expenses index > 1 means that the company is becoming less efficient in generate sales.
| SGAI | = | (SGA_t / Sales_t) | / | (SGA_t-1 /Sales_t-1) |
| = | (221.034 / 1655.81) | / | (218.463 / 1845.422) |
| = | 0.13349 | / | 0.118381 |
| | = | 1.1276 |
7. LVGI = Leverage Index
The ratio of total debt to Total Assets in year t relative to yeat t-1.
An LVGI > 1 indicates an increase in leverage
| LVGI | = | ((LTD_t + CurrentLiabilities_t) / TotalAssets_t) | / | ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1) |
| = | ((985.009 + 335.848) / 2556.757) | / | ((447.722 + 393.043) / 1992.168) |
| = | 0.516614 | / | 0.422035 |
| | = | 1.2241 |
8. TATA = Total Accruals to Total Assets
Total accruals calculated as the change in working capital accounts other than cash less depreciation.
| TATA | = | (IncomefromContinuingOperations_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (NetIncome_t - NonOperatingIncome_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (128.284 - -28.736 | - | 208.937) | / | 2556.757 |
| | = | -0.020306 |
An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.
Advanced Energy Industries has a M-score of -2.78 suggests that the company is unlikely to be a manipulator.
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